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project partnership, able to perform within project timescales. Competences in data analytics, machine learning / AI (for example in Python and relevant machine learning libraries), as well as interest and
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in MATLAB, R is a plus); Experience with deep learning and machine learning frameworks (e.g., TensorFlow, PyTorch); Familiarity with computational modeling of neural processes; Background knowledge in
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of biomechanical modeling, image segmentation, vision-based motion capture, machine learning, and control systems. Experience with OpenSim model creation and simulation. Keep in mind that this describes
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the gap between advanced machine learning and clinical application. Your tasks are: - Exploring molecular dynamics and proteomics methods to enhance variant interpretation, which may also include a role for
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, machine learning, and latest state-of-the-art biochemical analysis tools. You will explore how active enzymes drive cytoplasmic motion and how this influences cellular function and life itself. This is a
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for this position will have the following qualifications/qualities An MSc degree in chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with
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chemistry or a related field. Very strong academic performance. Experience in molecular machine learning. Experience with the programming language Python. Experience in computational chemistry. Basic
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research at the intersection of Interaction Design (IxD), Human-Computer Interaction (HCI), and Artificial Intelligence (AI) If you are passionate about designing the future of Human-AI interaction and
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calculated using our Software Energy Lab, which has multiple test machines with GPUs and, in the future, AI accelerators. Development teams currently lack guidance on how to create sustainable systems. You
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Job related to staff position within a Research Infrastructure? No Offer Description Are you an aspiring researcher with strong skills in statistics, machine learning or data science and a keen interest